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29,602 Article Results

Current Steering Digital Analog Converter with Partial Binary Tree Network (PBTN)

10.11591/ijeecs.v5.i3.pp643-649
Mohd Tafir Mustaffa , Yong Cheng Lim , Choon Yan Teh
DACs are essential devices in many digital systems which require high performance data converters. Thus, shrinking of supply voltage, budget constraints of test times, and rising bandwidth requirement causing DAC architectures to highly relying on matched components to perform data conversions. However, matched components are nearly impossible to fabricate; there are always mismatch errors which causes the difference between the designed and actual component value. Dynamic Element Matching (DEM) is one of the techniques that are commonly used to reduce component mismatch error. This technique is a randomization technique to select one of the appropriate codes for each of the digital input value before entering DAC block. Thus, in this research, a new DEM algorithm is proposed on Current-Steering DAC with Partial Binary Tree Network (PBTN) algorithm that utilizes a lower complexity circuit to produce output signals with less glitches. Simulation results for 6-bit 1-MSB PBTN DAC produces 0.3184LSB of DNL, 0.0062LSB of INL, and a power consumption of 14.13 mW, while using only 126 transmission gates.
Volume: 5
Issue: 3
Page: 643-649
Publish at: 2017-03-01

A Hybrid Chebyshev-ICA Image Fusion Method Based on Regional Saliency

10.12928/telkomnika.v15i2.6147
Zaid; Universiti Teknologi Malaysia Omar , Tania; Universiti Teknologi Malaysia Stathaki , Musa; Universiti Teknologi Malaysia M. Mokji , Lila; Universiti Teknologi Malaysia Iznita Izhar
An image fusion method that performs robustly for image sets heavily corrupted by noise is presented in this paper. The approach combines the advantages of two state-of-the-art fusion techniques, namely Independent Component Analysis (ICA) and Chebyshev Poly-nomial Analysis (CPA) fusion. Fusion using ICA performs well in transferring the salient features of the input images into the composite output, but its performance deteriorates severely under mild to moderate noise conditions. CPA fusion is robust under severe noise conditions, but eliminates the high frequency information of the images involved. We pro-pose to use ICA fusion within high activity image areas, identified by edges and strong textured surfaces and CPA fusion in low activity areas identified by uniform background regions and weak texture. A binary image map is used for selecting the appropriate method, which is constructed by a standard edge detector followed by morphological operators. The results of the proposed approach are very encouraging as far as joint fusion and denoising is concerned. The works presented may prove beneficial for future image fusion tasks in real world applications such as surveillance, where noise is heavily present.
Volume: 15
Issue: 2
Page: 934-941
Publish at: 2017-03-01

Local Binary Fitting Segmentation by Cooperative Quantum Particle Optimization

10.12928/telkomnika.v15i1.3159
Desheng; Anhui Science and Technology University Li , Qian; Guilin University of Electronic Technology He , Liu; Anhui Science and Technology University Chunli , Yu; Anhui Science and Technology University Hongjie
Recently, sophisticated segmentation techniques, such as level set method, which using valid numerical calculation methods to process the evolution of the curve by solving linear or nonlinear elliptic equations to divide the image availably, has become being more popular and effective. In Local Binary Fitting (LBF) algorithm, a simple contour is initialized in an image and then the steepest-descent algorithm is employed to constrain it to minimize the fitting energy functional. Hence, the initial position of the contour is difficult or impossible to be well chosen for the final performance. To overcoming this drawback, this work treats the energy fitting problem as a meta-heuristic optimization algorithm and imports a varietal particle swarm optimization (PSO) method into the inner optimization process. The experimental results of segmentations on medical images show that the proposed method is not only effective to both simple and complex medical images with adequate stochastic effects, but also shows the accuracy and high efficiency.
Volume: 15
Issue: 1
Page: 531-539
Publish at: 2017-03-01

Image Reconstruction Based on Combination of Inverse Scattering Technique and Total Variation Regularization Method

10.11591/ijeecs.v5.i3.pp569-576
Nor Haizan Jamali , Kismet Anak Hong Ping , Shafrida Sahrani , Dayang Azra Awang Mat , Mohamad Hamiruce Marhaban , Mohd Iqbal Saripan , Toshifumi Moriyama , Takashi Takenaka
The Forward-Backward Time-Stepping (FBTS) had proven its potential to reconstruct images of buried objects in inhomogeneous medium with useful quantitative information about its size, shape, and locality. The Total Variation regularization method was incorporated with the FBTS algorithm to deal with the ill-posedness or ill-conditionedness of the inverse problem. The effectiveness of the proposed technique is confirmed by numerical simulations. The numerical method was carried out on a simple object detection through FBTS with and without TV regularization method. The detection and reconstruction of relative permittivity and conductivity of the simple object have shown an improvement as TV regularization method applied whereas it smoothed the vibrations of the images and gave a better estimation of the image’s boundaries.
Volume: 5
Issue: 3
Page: 569-576
Publish at: 2017-03-01

Desktop Tomography System using Planar ECT Device

10.12928/telkomnika.v15i2.6116
Shahrulnizahani; Universiti Teknologi Malaysia Mohammad Din , Nur; Universiti Teknologi Malaysia Adila Mohd Razali , Jaysuman; Universiti Teknologi Malaysia Pusppanathan , Chee; Universiti Tunku Abdul Rahman Pei Song , Ruzairi; Universiti Tun Hussein Onn Malaysia (UTHM) Abdul Rahim , Leow; Universiti Teknologi Malaysia Pei Linga
Miniaturized planar electrical capacitance tomography (ECT) device is fabricated using microfabrication method to accommodate eight planar electrodes to carry out electrical capacitance measurement using tomography technique. Fluids within the detection chamber are detected by the difference of the permittivity parameters. Stagnant and hydrodynamic multiphase samples such as liquid-gas and liquid-liquid are tested. The eight-electrode planar array is fabricated on the copper plated printed circuit board (PCB) and the chamber is fabricated using polymer poly(dimethyl-siloxane) (PDMS). The images of the multiphase sample are reconstructing using Linear Back Projection algorithm (LBP). Computer interface software is developed to display the images of the fluid online. Experimental results show that the reconstructed images closely resemble with the composition of the multiphase sample within the detection chamber.
Volume: 15
Issue: 2
Page: 778-785
Publish at: 2017-03-01

Measurement of 3 Solar Panel Output with Different Treatment Involving Controller and Reflector

10.12928/telkomnika.v15i1.3478
Yulinar; Sriwijaya University Adnan , Khairul; Sriwijaya University Saleh , Assaidah; Sriwijaya University Assaidah
Solar cell as one of renewable energy source had been treated differently in this research. In order to optimize its output and efficiency, three panels output was measured simultaneously by vary its movement and sun light exposure. The variations of measurement  are one static panel without any treatment; one static panel with two mirrors as reflector; and one dynamic panel with reflector. The dynamic panel movement controlled by microcontroller. Result had revealed that the treatment succesfully improve the output of solar cell.
Volume: 15
Issue: 1
Page: 138-142
Publish at: 2017-03-01

Reliability Evaluation of Low-voltage Switchgear Based on Maximum Entropy Principle

10.12928/telkomnika.v15i1.4255
Zhang; Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability，Hebei University of Technology, Tianjin, China Zhigang , Wang; Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability，Hebei University of Technology Jingqin , Wang; Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability，Hebei University of Technology, Tianjin, China Li , Wang; Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability，Hebei University of Technology, Tianjin, China Meng
In this paper, based on the definition of two-parameter joint entropy and the maximum entropy principle, a method was proposed to determine the prior distribution by using the maximum entropy method in the reliability evaluation of low-voltage switchgear. The maximum entropy method takes kinds of priori information as different constraints. The optimal prior distribution was selected by maximizing entropy under these constraints, which not only contains the known prior information but also tries to avoid the introduction of other assumption information. Based on non-parametric bootstrap method, the hyper-parameters of prior distribution is obtained by two-order moment of prior information. Finally, with the bootstrap method, the prior distribution robustness and the posterior robustness were analyzed, and the posterior mean time between failures for the low-voltage switchgear was estimated.
Volume: 15
Issue: 1
Page: 101-108
Publish at: 2017-03-01

Tapered Microchannel for Multi-particles Passive Separation Based on Hydrodynamic Resistance

10.11591/ijeecs.v5.i3.pp628-635
Ida Laila Ahmad , Mohd Ridzuan Ahmad
Researches on separation of multi-particles utilizing microfluidic have been flourishing in recent years with the aid from advancements in microfabrication design and technology. Generally, separation is beneficial for biomedical application especially involving heterogeneous samples. Due to inherent problems of samples isolation, a simple and efficient separation device is required. Here, we present a passive tapered microchannel for multi-particles separation using hydrodynamic principle. Our emphasis is on the effect of hydrodynamic resistance coupled with tapered microchannel design. In the experiment, successful multi-particles samples separation was observed. The results were further analyzed and were in agreement with the proposed concept. This method opens the route toward robust, low-cost and high-throughput, thus it may holds potential to be integrated as one functional module in micro total analysis system.
Volume: 5
Issue: 3
Page: 628-635
Publish at: 2017-03-01

Potentiometric Glucose Detection by Paper-based Electrochemical Sensor on CMOS Chip

10.12928/telkomnika.v15i2.6129
Katsuyuki; Ritsumeikan University Yamaoka , Jun; Ritsumeikan University Eguchi , Shigeyasu; Ritsumeikan University Uno
This paper presents a low cost portable medical device for biochemical sensor using CMOS chip and paper-based fluidic channel. We measured a potential produced by enzyme activity of glucose between the working and reference electrode on CMOS chip. A liquid sample is transported by paper-based fluidic channel, which is made of chromatography paper and silicone resin, and consists of the area for filtering a sample (filter layer) and that for reacting enzyme (enyzme layer). The paper-based fluidic channel is used by combining CMOS chip, and the solution with glucose is dropped from top of the paper-based fluidic channel. The concentrations of glucose are detected by potentiometry (open circuit potential time). The experimental results show that the glucose concentration is measured by CMOS chip and paper-based fluidic channel.
Volume: 15
Issue: 2
Page: 836-841
Publish at: 2017-03-01

Open-circuit Fault Diagnosis for Grid-connected NPC Inverter based on Independent Component Analysis and Neural Network

10.12928/telkomnika.v15i1.3677
Xiaofeng; Nanchang University Wan , Hailin; Nanchang University Hu , Yunjun; Nanchang University Yu , Liping; Wireless Laboratory, ZTE Co., Shenzhen Kang , Fanpeng; Jiangsu Lin Yang energy Co., Ltd, Qidong Zeng
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexAn open circuit (O-C) fault detection method for grid-connected neutral-point-clamped (NPC) inverter based on independent component analysis (ICA) and neural network (NN) is proposed in this paper. A NN classifier is applied to the fault diagnosis of NPC inverter. The ICA is utilized for the three phase current feature extraction. The ICA reduces the number of NN input neuron. A lower dimensional input space reduces the noise and the training time of NN, the ICA algorithm improves the mapping performance. The proposed algorithm is evaluated with simulation test set. The overall classification performance of the proposed network is more than 97%. The simulation results show that the proposed algorithm performs satisfactorily to fault location.
Volume: 15
Issue: 1
Page: 36-47
Publish at: 2017-03-01

A Framework for Classifying Indonesian News Curator in Twitter

10.12928/telkomnika.v15i1.4557
Jaka E.; Telkom University Sembodo , Erwin; Telkom University B. Setiawan , ZK A.; Telkom University Baizal
News curators in twitter are a user, which is interested in following, spreading, giving feedback of recent popular articles. There are two kinds of this user, news curator as human user and news aggregator as bot user. In prior works about news curator, the classification system built using followers, URL, mention and retweet feature. However, there are limited prior works for classifiying Indonesian News Curator in twitter and still hard for labelling data involve just two features: followers and URL. In this paper, we proposed a framework for classifying Indonesian news curator in twitter using Naïve Bayes Classifier (NBC) and added features such as location, bio profile, and common tweet. Another purpose for analysing the influential features of certain class, so its make easier for labelling data of this role in the future. Examination result using percentage split as evaluating system produced 87% accuracy. The most influential features for news curator are followers, bio profile, mention and retweet. For news aggregator class are followers, location, and URL. The rest just common tweet feature for not both class. We implemented Feature Subset Selection (FSS) for increasing system performance and avoiding the over fitting data, it has produced 92.90% accuracy.
Volume: 15
Issue: 1
Page: 357-364
Publish at: 2017-03-01

Portable Electrochemical Gas Sensing System with a Paper-Based Enzyme Electrode

10.12928/telkomnika.v15i2.6142
Shogo; Ritsumeikan University Kawahara , Yukio; Ritsumeikan University Fuchigami , Shoji; Ritsumeikan University Shimokawa , Yousuke; Ritsumeikan University Nakamura , Tatsumi; Ritsumeikan University Kuretake , Masao; Ritsumeikan University Kamahori , Shigeyasu; Ritsumeikan University Uno
An unconventional portable electrochemical gas sensor composed of a smartphone, a finger-sized sensing chip and a single use paper-based enzyme electrode was proposed to detect a particular target gaseous inclusion for self-breath-analysis with ease. This attempt allowed us to monitor our physical status immediately and continuously regardless of a time, place or person due to the improved convenience, immediacy, and affordability. The custom CMOS chip with the capability of performing an amperometric determination when the power voltage supplied from the earphone jack of a smartphone was designed as an analytical device. A disposable enzyme electrode was prepared simply from a chromatography paper and a commercial carbon pencil instead of the conventional indisposable material and complex manufacturing process. The quantification of ethanol in gaseous samples was demonstrated in range from 50 to 500ppm (V/V) in accord with concentrations in exhaled breath. The response current increased linearly with increasing vapor ethanol concentration.
Volume: 15
Issue: 2
Page: 895-902
Publish at: 2017-03-01

Compound Control of Electromagnetic Linear Actuator Based on Fuzzy Switching

10.12928/telkomnika.v15i1.4685
Zhu; Huaiyin Institute of Technology Jianhui , Wang; Huaiyin Institute of Technology Cheng , Dai; Huaiyin Institute of Technology Jianguo
Due to the motion control system of electromagnetic linear actuator (EMLA) is a nonlinear system with poor controllability, single control strategy has been difficult to meet the requirements of its control. A compound control strategy based on inverse system control (ISC) and proportional-integral (PI) is designed in this paper. Switching between two algorithms, which is based on the fuzzy rules, prevents the control algorithm to jitter and jump. System model is build under Matlab/Simulink to do simulation analysis. The designed controller is integrated into the system simulation model and the system software of digital signal processor (DSP) controller. Simulation and test results show that the compound control strategy using fuzzy switching rules achieves the smooth transition of two control algorithms, and the goal of any position location, and continuous adjustment in 0~4mm lift. Positioning accuracy is up to ± 0.02mm, while the response time is less than 10ms.
Volume: 15
Issue: 1
Page: 273-282
Publish at: 2017-03-01

Forkloader Position Control for A Mini Heavy Loaded Vehicle using Fuzzy Logic-Antiwindup Control

10.12928/telkomnika.v15i2.6110
Wan; Universiti Malaysia Pahang (UMP) Mohd Nafis Wan Lezaini , Addie; Universiti Malaysia Pahang (UMP) Irawan , Sheikh; Vacuumschmelze (M) Sdn. Bhd Norhasmadi Sheikh Ali
This paper presents a proposed integrated Takagi-Sugeno-Kang (TSK) type Fuzzy Logic control (TSK-FLC) with Antiwindup elements for a forkloader position control of a Mini Heavy Loaded Forklift Autonomous Guided Vehicle (MHeLFAGV). The study was carried out by modeling TSK-FLC as a close-loop control for the each axis of the fork-lift’s movement. The degree of membership is designed with reference to the system response, in which ultrasonic sensor with 1cm resolution is used. Moreover, the rule base is determined and optimized to deal with microcontroller processing speed. In order to cater for the windup phenomenon, a proportional and integrated antiwindup elements are integrated into the TSK-FLC model. This control strategy consumes less memory and is expected to increase the time response of the control system. The experiment and analysis is done on the actual forkloader unit of MHeLFAGV system. The experiment was done on the vertical axis motion since horizontal motion will have the same characteristic pattern of implementation and characteristic of tuning. The experiment shows that the proposed integrated TSK-FLC with antiwindup elements is able to speed up the time response of the system and eliminate the overshoot as well as oscillation on the forkloader movement.  
Volume: 15
Issue: 2
Page: 739-745
Publish at: 2017-03-01

A Low Power, Low Noise Amplifier for Recording Neural Signals

10.11591/ijai.v6.i1.pp18-25
G. Deepika , K.S. Rao
The design of a low power amplifier for recording EEG signals is presented. The low noise design techniques are used in this design to achieve low input referred noise that is near the theoretical limit of any amplifier using a differential pair as input stage. To record the neural spikes or local field potentials (LFP’s) the amplifier’s bandwidth can be adjusted. In order to reject common-mode and power supply noise differential input pair need to be included in the design. The amplifier achieved a gain of 53.7dB with a band width of 0.5Hz to1.1 kHz and input referred noise measured as 357 nVrms operated with a supply voltage of 1.0V. The total power consumed is around 3.19µW. When configured to record neural signals the gain measured is 54.3 dB for a bandwidth of 100 Hz and the input referred noise is 1.04µ Vrms. The amplifier was implemented in 180nm technology and simulated using Cadence Virtuoso.
Volume: 6
Issue: 1
Page: 18-25
Publish at: 2017-03-01
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